At a Glance
- Tasks: Create advanced analytical models to drive insights in elite football coaching and player performance.
- Company: Join The FA, the heart of English football, at iconic Wembley Stadium.
- Benefits: Enjoy competitive salary, free lunches, event tickets, and a hybrid working model.
- Other info: Work in a diverse environment with excellent growth opportunities and a commitment to inclusion.
- Why this job: Make a real impact on football by using data science to shape the future of coaching.
- Qualifications: Degree in a quantitative field and experience in data science, especially in football.
The predicted salary is between 40000 - 50000 £ per year.
The FA is excited to recruit for two Data Scientist roles across our Chief Football Office and Men's Technical divisions.
Insight Data Scientist (Elite Coaching Development)
This role will implement advanced analytical models to provide actionable insights, helping drive evidence-based processes and decisions around elite coach development. Leveraging expertise in data science to design, train, and optimise models, working closely with various stakeholders to ensure cutting-edge data-driven insights are effectively communicated and utilised. The successful candidate will also collaborate with the Game Insights team to strengthen resources across the entire learning landscape, with primary focus on Elite Coaching and professional game qualifications. Reporting directly to the Elite Coach Developer, this role will support the progression of English home‑grown coaches. The role may also periodically support additional responsibilities in player selection, development and performance.
Insight Data Scientist (England Men's)
The England Men's Insight Data Scientist will play a key role in the Insights department, driving evidence‑based insight across multiple performance functions at the FA. The role will implement advanced analytical models to provide actionable insights, helping drive evidence-based processes and decisions around coach development with additional responsibilities in player selection, development and performance. Leveraging expertise in data science to design, train, and optimise models, working closely with various stakeholders to ensure cutting-edge data-driven insights are effectively communicated and utilised. This position will report to our Head of Insights, Men's Technical.
What will you be doing?
The Insights Data Scientists will play a pivotal role in creating and implementing advanced analytical models to provide actionable insights and empower informed decision-making.
Data Science Skillset
- Play a leading role in the implementation of advanced statistical techniques and various modelling approaches to derive insights from football datasets, including event data, optical and broadcast tracking data, and GPS/performance data.
- Optimise machine learning models, including both supervised and unsupervised learning methods.
- Conduct rigorous hypothesis testing and validation to ensure the robustness of analytical findings.
- Provide technical guidance and support to stakeholders to enhance their understanding and utilisation of data science tools.
- Work closely with the Senior Data Architect and Development Team to ensure seamless integration of analytics reporting and models.
Data Wrangling, EDA & Feature Engineering
- Ensure the quality of data used for model development through meticulous data checking and cleaning practices.
- Process and transform raw, unstructured data into usable formats for model training and analysis.
- Develop and refine features from raw data to enhance the performance of predictive models.
Model Selection, Training & Tuning
- Design and develop advanced statistical and machine learning models to analyse a broad set of football data, including event data, tracking data, and performance data.
- Select appropriate algorithms and model architectures based on the problem context and data characteristics.
- Train, validate, and tune models to achieve optimal performance.
- Monitor and refine model performance over time to ensure continued accuracy and relevance.
Data Visualisation
- Collaborate with key stakeholders to translate complex model outputs into actionable insights through impactful data visualisations.
Other
- Executes additional tasks as required to meet the FA's changing priorities.
- Comply with all company policies and procedures to ensure the highest standards of health, safety, and well‑being can be maintained.
- As part of the FA's commitment to ensuring a safe environment for everyone in football, every employee will be required to complete a DBS check. The level of the check required will be based on the activity of the specific job role and in line with legislation and government guidance.
What are we looking for?
Essential for the role
- A bachelor's or master's degree or equivalent in a quantitative field (mathematics, statistics, computer/data science, etc.) or in sports science, sport management or related field with demonstrable data science experience.
- Experience in the fundamentals of data science, including but not limited to: Data visualisation, Exploratory Data Analysis, Data Wrangling, Feature Engineering, Model Selection/Training/Tuning.
- Experience in utilising data to drive insights related to football-specific questions.
- Highly skilled in advanced statistical and modelling techniques.
- Experience with football-specific datasets, including but not limited to event data, optical tracking data, broadcast tracking data, and GPS data.
- Experience managing complex uncleaned datasets.
- Advanced proficiency in statistical programming languages, especially Python and/or R, for data analysis.
- Experience using cloud-based computing environments (Google Cloud Platform / Google Big Query is advantageous), demonstrating proficiency in utilising cloud resources for data analytics and ensuring seamless integration of data pipelines and analytics platforms.
- Demonstrable experience collaborating with both technical and non-technical stakeholders on analytics projects.
- Ability to be physically present at St. George's Park.
- Excellent written and verbal communication skills.
Beneficial to have
- Experience in a similar role in a professional football environment.
- Experience with Time-Series Analysis & Forecasting.
- Experience with Bayesian inference/MCMC.
The closing date of this advert is Thursday, 4th June at 13:00. Interviews are scheduled for both roles on Wednesday, 10th June, which will be held at the National Football Centre, St George's Park in Staffordshire.
What's in it for you?
We are committed to ensuring everyone can flourish in their roles. To achieve this, we have unique office spaces under the arch of the iconic Wembley National Stadium, which is the home of English Football. We are also delighted to offer a world‑class, Elite Performance Centre, St. George's Park in Staffordshire, which is an exceptional setting to develop and inspire high‑performing England teams and leaders. We pride ourselves on offering a competitive salary as well as great opportunities to develop and grow in your role. But that is not all; we also have a range of exciting benefits:
- Access to event day tickets at Wembley Stadium, alongside a host of regular internal events throughout the season, encourages you to connect and learn with your colleagues and look after your mental health and well‑being.
- Free, nutritious lunches at Wembley Stadium and St. George's Park.
- Free private medical cover.
- A contributory pension scheme.
- An additional 'Thank You' day's leave, volunteering days, as well as 25 days of annual leave (based on a full‑time, permanent contract).
- A hybrid working model offering greater flexibility.
For more information on what it is like to work at The FA, please visit our FA Careers page. Currently, we are working within a hybrid working model whereby the expectation is to work from your contractual location for part of the week, and as and when required by the team. The remaining days can be worked remotely. We will continue to monitor this model, and it may be adjusted in future if deemed necessary. The contractual location of this role can be found on the FA Careers page.
We are a diverse workplace, aspiring to represent football across the country. The Football Association actively promotes inclusion and diversity, encouraging you to be the best version of yourself at work. We welcome applications from everyone and are proud to be an equal opportunities employer. If you have any particular requirements in respect of the recruitment or interview process, please mention this during your application.
As part of the FA's commitment to ensuring a safe environment for everyone in football, every employee will be required to complete a DBS check. The level of the check required will be based on the activity of the specific job role and in line with legislation and government guidance.
Football Insight Data Scientist — Elite Analytics (Hybrid) employer: The Football Association
The Football Association (FA) is an exceptional employer, offering a unique opportunity to work at the iconic Wembley National Stadium and the world-class Elite Performance Centre at St. George's Park in Staffordshire. With a strong commitment to employee development, competitive salaries, and a range of benefits including free lunches, private medical cover, and flexible hybrid working arrangements, the FA fosters a supportive and inclusive work culture that empowers individuals to thrive in their roles while contributing to the future of English football.
StudySmarter Expert Advice🤫
We think this is how you could land Football Insight Data Scientist — Elite Analytics (Hybrid)
✨Network Like a Pro
Get out there and connect with people in the football and data science communities. Attend events, join online forums, and don’t be shy about reaching out to professionals on LinkedIn. You never know who might have the inside scoop on job openings!
✨Show Off Your Skills
Create a portfolio showcasing your data science projects, especially those related to football. Use platforms like GitHub to share your code and visualisations. This not only demonstrates your expertise but also gives potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by practising common data science questions and scenarios specific to football analytics. Be ready to discuss your past projects and how you've used data to drive insights. Remember, it’s all about showing how you can add value to their team!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest job openings and updates about our work at The FA.
We think you need these skills to ace Football Insight Data Scientist — Elite Analytics (Hybrid)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience with data science, especially in football contexts, and show how your skills align with what we're looking for.
Showcase Your Skills:Don’t just list your qualifications; demonstrate them! Use specific examples of projects or models you've worked on that relate to the job description. We want to see your expertise in action!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your experience and insights, making it easy for us to see why you’re a great fit for the team.
Apply Through Our Website:We encourage you to submit your application through our official website. It’s the best way to ensure your application gets to the right people and stands out in the process!
How to prepare for a job interview at The Football Association
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around statistical techniques and machine learning models. Be ready to discuss how you've applied these skills in real-world scenarios, particularly in football-related contexts.
✨Showcase Your Football Knowledge
Understand the specific datasets mentioned in the job description, like event data and GPS tracking. Be prepared to talk about how you've used data to drive insights in football, as this will show your passion and relevance for the role.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Use examples from your past experiences to illustrate how you've effectively communicated insights.
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. This could be about their current projects or how they envision the role evolving. It shows you're genuinely interested and engaged, which can set you apart from other candidates.